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Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago

Author

Listed:
  • Stephanie L. Mayne

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Angelina Jose

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Allison Mo

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Lynn Vo

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Simona Rachapalli

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Hussain Ali

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Julia Davis

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

  • Kiarri N. Kershaw

    (Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive Suite 1400, Chicago, IL 60611, USA)

Abstract

Neighborhood psychosocial stressors like crime and physical disorder may influence obesity-related outcomes through chronic stress or through adverse effects on health behaviors. Google Street View imagery provides a low-cost, reliable method for auditing neighborhood physical disorder, but few studies have examined associations of Street View-derived physical disorder scores with health outcomes. We used Google Street View to audit measures of physical disorder for residential census blocks from 225 women aged 18–44 enrolled from 4 Chicago neighborhoods. Latent neighborhood physical disorder scores were estimated using an item response theory model and aggregated to the block group level. Block-group level physical disorder scores and rates of police-recorded crime and 311 calls for service requests were linked to participants based on home addresses. Associations were estimated for 6 obesity-related outcomes: body mass index, obesity, total moderate-to-vigorous physical activity, and weekly consumption of sugar-sweetened beverages, fast food, and snacks. Hierarchical regression models estimated cross-sectional associations adjusting for individual sociodemographics and neighborhood poverty. Higher neighborhood physical disorder was associated with greater odds of obesity (OR: 1.43, 95% CI: 1.01, 2.02). Living in a neighborhood with a higher crime rate was associated with an increase in weekly snack consumption of 3.06 (95% CI: 1.59, 4.54).

Suggested Citation

  • Stephanie L. Mayne & Angelina Jose & Allison Mo & Lynn Vo & Simona Rachapalli & Hussain Ali & Julia Davis & Kiarri N. Kershaw, 2018. "Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago," IJERPH, MDPI, vol. 15(7), pages 1-12, July.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1395-:d:155855
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    References listed on IDEAS

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    1. Bell, J.A. & Hamer, M. & Shankar, A., 2014. "Gender-specific associations of objective and perceived neighborhood characteristics with body mass index and waist circumference among older adults in the English Longitudinal Study of Ageing," American Journal of Public Health, American Public Health Association, vol. 104(7), pages 1279-1286.
    2. Michael Eichinger & Sylvia Titze & Bernd Haditsch & Thomas E Dorner & Willibald J Stronegger, 2015. "How Are Physical Activity Behaviors and Cardiovascular Risk Factors Associated with Characteristics of the Built and Social Residential Environment?," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-15, June.
    3. Fish, J.S. & Ettner, S. & Ang, A. & Brown, A.F., 2010. "Association of perceived neighborhood safety on body mass index," American Journal of Public Health, American Public Health Association, vol. 100(11), pages 2296-2303.
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    1. Xiaohe Yue & Anne Antonietti & Mitra Alirezaei & Tolga Tasdizen & Dapeng Li & Leah Nguyen & Heran Mane & Abby Sun & Ming Hu & Ross T. Whitaker & Quynh C. Nguyen, 2022. "Using Convolutional Neural Networks to Derive Neighborhood Built Environments from Google Street View Images and Examine Their Associations with Health Outcomes," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    2. Yinhua Tao & Jie Yang & Yanwei Chai, 2019. "The Anatomy of Health-Supportive Neighborhoods: A Multilevel Analysis of Built Environment, Perceived Disorder, Social Interaction and Mental Health in Beijing," IJERPH, MDPI, vol. 17(1), pages 1-19, December.
    3. Thu T. Nguyen & Quynh C. Nguyen & Anna D. Rubinsky & Tolga Tasdizen & Amir Hossein Nazem Deligani & Pallavi Dwivedi & Ross Whitaker & Jessica D. Fields & Mindy C. DeRouen & Heran Mane & Courtney R. Ly, 2021. "Google Street View-Derived Neighborhood Characteristics in California Associated with Coronary Heart Disease, Hypertension, Diabetes," IJERPH, MDPI, vol. 18(19), pages 1-13, October.

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